Download Zinc, iron and calcium are major limiting nutrients in the

bs_bs_banner
DOI: 10.1111/mcn.12243
Original Article
Zinc, iron and calcium are major limiting nutrients in the
complementary diets of rural Kenyan children
Elaine Ferguson*, Peter Chege†, Judith Kimiywe†, Doris Wiesmann‡ and Christine Hotz§
London School of Hygiene and Tropical Medicine, Department of Population Health, London, UK, † Kenyatta University, Department of Food, Nutrition and Dietetics,
Nairobi, Kenya, ‡ Consultant Halendorf 323744 Schoenwalde, Germany, and § Consultant, Nutridemics, Toronto, ON, Canada
*
Abstract
Poor quality infant and young child (IYC) diets contribute to chronic under-nutrition. To design effective IYC
nutrition interventions, an understanding of the extent to which realistic food-based strategies can improve dietary
adequacy is required. We collected 24-h dietary recalls from children 6–23 months of age (n = 401) in two rural
agro-ecological zones of Kenya to assess the nutrient adequacy of their diets. Linear programming analysis
(LPA) was used to identify realistic food-based recommendations (FBRs) and to determine the extent to which they
could ensure intake adequacy for 12 nutrients. Mean nutrient densities of the IYC diets were below the desired level
for four to nine of the 10 nutrients analysed, depending on the age group. Mean dietary diversity scores ranged from
2.1 ± 1.0 among children 6–8 months old in Kitui County to 3.7 ± 1.1 food groups among children 12–23 months old in
Vihiga County. LPA confirmed that dietary adequacy for iron, zinc and calcium will be difficult to ensure using only
local foods as consumed. FBRs for breastfed children that promote the daily consumption of cows’/goats’ milk
(added to porridges), fortified cereals, green leafy vegetables, legumes, and meat, fish or eggs, 3–5 times per week
can ensure dietary adequacy for nine and seven of 12 nutrients for children 6–11 and 12–23 months old, respectively.
For these rural Kenyan children, even though dietary adequacy could be improved via realistic changes in habitual
food consumption practices, alternative interventions are needed to ensure dietary adequacy at the population level.
Keywords: dietary recommendations, infants, Kenya, linear programming, nutrition, young children.
Correspondence: Elaine Ferguson, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK. E-mail: Elaine.
[email protected]
Introduction
Micronutrient deficiencies continue to be prevalent
among children in low-income countries, and they contribute to the global burden of disease, impaired child
development and stunted growth (Black et al. 2013). Poor
quality infant and young child (IYC) diets partially account for these micronutrient deficiencies, underscoring
the importance of identifying ways to improve diet quality. In response, a global strategy was recently put forth
to support caregivers in improving the nutritional quality
of IYC diets by promoting the use of suitable, locally
available foods, including fortified foods (World Health
Organisation [WHO]/UNICEF 2003). These guidelines,
however, are not context specific. As a result, adaptations
to local circumstances are required to focus on locally
available, affordable and acceptable nutrient-dense foods.
6
To create evidence-based dietary recommendations
for specific populations, information on the current
dietary sources of nutrients, food intake patterns and
gaps in achievement of nutrient intake requirements
are required (Dewey & Brown 2003). LPA is a useful
technique for identifying locally appropriate, low-cost
food-based recommendations (FBRs) to fill nutrient
intake gaps through behaviour change and other interventions. It can also be used to identify nutrients for
which gaps cannot be realistically filled, using local
foods as consumed, and for which alternative solutions
are required (Ferguson et al. 2006).
In Kenya, indicators of IYC feeding practices and
nutritional adequacy suggest that low-quality IYC diets
are common (Kenya National Bureau of Statistics
[KNBS] & ICF Macro 2010). For example, 42% of
children 6–23 months of age received complementary
© 2016 The Authors. Maternal and Child Nutrition Published by John Wiley & Sons Ltd Maternal & Child Nutrition (2015), 11 (Suppl. 3), pp. 6–20
This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
TBA training improves early infant feeding
foods from no more than two food groups, representing
a level of food diversity associated with a high risk of
inadequate nutrient intakes (WHO et al. 2008), and
33% did not meet the minimum recommended feeding
frequency (KNBS & ICF Macro 2010). Nearly half of
Kenyan children also experience linear growth
stunting, a key indicator of chronic malnutrition, which
rises rapidly from infancy through the second year of
life (KNBS & ICF Macro 2010). This evidence suggests
a general need to improve the quality of IYC diets.
However, region-specific FBRs may be required in
Kenya, given the wide range of agro-ecologies and
demographic and cultural influences that affect the
availability of foods and their use in IYC diets.
As part of a research programme to determine the
potential of local foods to improve the nutrient quality
of IYC diets, and identify possible intervention points
requiring support to increase accessibility of foods identified in the FBRs, the specific objectives of the current
study were to: (1) quantify food and nutrient intakes in
the complementary diets of rural Kenyan children
6–23 months of age in relation to recommendations;
(2) identify an initial set of locally appropriate, low-cost
FBRs to improve the adequacy of nutrient intakes of
these children; and (3) identify nutrient gaps that
cannot be filled using local foods as consumed. This
research was carried out in two distinct food-insecure
regions of Kenya.
Materials and methods
Study populations
Two food-insecure counties were selected to represent
distinct agro-ecological zones in Kenya. Kitui County
represents a sparsely populated (33 people per sq km),
semi-arid area, while Vihiga County represents a
densely populated (1045 people per sq km), highrainfall area (Commission on Revenue Allocation
[CRA] 2011). Both counties are characterised by high
rates of stunting among children under 5 years of age
(42% and 34%, respectively) (KNBS & ICF Macro
2010), and large numbers of impoverished households
(CRA 2011).
Survey design
A cross-sectional survey of children 6–23 months old was
conducted in four districts of Vihiga County during a season of relatively high food diversity (August 2012) and in
four districts of Kitui County at the end of the food shortage season (October/November 2012). Dietary intake,
anthropometric and socio-demographic data (interviewer administered questionnaire) were collected by
10 trained, experienced research assistants. The survey
was approved by the Ethics Committee of the National
Council for Science and Technology (Nairobi), and analysis of the collected data was approved by the Ethics
Committee of the London School of Hygiene and
Tropical Medicine (London). Informed, signed consent
to participate was obtained from all participants.
Sampling
Stratified (by age sub-group) random sampling was
used to select children from the four purposively
selected districts in Vihiga County (Luanda, Emuhaya,
East Tiriki and West Tiriki; n = 201) and Kitui County
(Kitui Central, Lower Yatta, Mutomo and Kitui West;
n = 200). The four age sub-group strata included
Key messages
• The dietary intakes of rural 6–23-month-old children living in two distinct agro-ecological zones in southern Kenya
did not achieve WHO desired levels for four to nine micronutrients, depending on the age group and county
• A food-based intervention promoting locally available foods as currently consumed can be used to ensure dietary
adequacy for all nutrients except iron, zinc and calcium (in one county) for children 6–23 months old living in two
distinct agro-ecological zones in southern Kenya.
• Affordable, culturally acceptable alternative interventions are required for rural children 6–23 months old in eastern
and western Kenya to ensure adequate dietary intakes of iron, zinc and, in some cases, calcium.
© 2016 The Authors. Maternal and Child Nutrition Published by John Wiley & Sons Ltd Maternal & Child Nutrition (2015), 11 (Suppl. 3), pp. 6–20
7
8
E. Ferguson et al.
children 6–8, 9–11, 12–17 and 18–23 months of age. The
inclusion criteria were that a child was 6–23 months of
age inclusive and that his or her primary caregiver
was available for, and agreed to participate in, the
survey. If more than one child in a household met the
inclusion criteria, then one was randomly selected.
Dietary assessment
Dietary intakes were estimated using a four-pass 24-h
dietary recall (24-HR), adapted from Gibson &
Ferguson (2008). All days of the week were represented to avoid any related effects on dietary intakes.
Portion sizes were measured either as direct weights
of real foods on dietary scales or as volumes that were
later converted to grams. Standard average recipe data
for common composite dishes were collected from ≥10
caregivers per recipe in the study areas (Gibson &
Ferguson 2008). For other composite dishes, ingredient
amounts were determined at the household level by
estimating the weight of raw ingredients as a proportion
of the total cooked dish eaten.
Anthropometric assessment
Body weight was measured in duplicate using a digital
scale (Seca model 770; precision ± 0.1 kg), and the
mean was calculated. Weight-for-age z-scores and
prevalence of underweight children (z-score < 2)
were calculated (WHO 2006a).
Market survey
For each food item reported in the 24-HRs, retail price
data were collected from at least five different selling
locations in each county, including roadside vendors,
kiosks, open markets and supermarkets. The price
(Kenyan Shillings) per 100-g edible portion was
calculated.
Data processing and descriptive analyses
Data entry, processing, cleaning and descriptive and
statistical analyses were done using MS Excel 2007
and Stata version 10.1. Data from the 12–17 and
18–23 months of age sub-groups were combined for
all analyses. Dietary diversity scores were calculated
for each breastfed child by counting the number of food
groups reported in the 24-HR using the seven food
groups defined by WHO (WHO et al. 2008).
Energy and nutrient intakes from all foods and
beverages were calculated using a food composition
database compiled for this survey, following established
methods (Hotz et al. 2011). For fortified food products,
local product label information on nutrient content was
used. Nutrient densities for the complementary feeding
diets were calculated for each participant and
compared with WHO-desired levels (Dewey & Brown
2003).
Linear programming analysis
LPA was used to generate a series of optimised
modelled diets that identified: (1) problem nutrients
(i.e. nutrients likely to remain low in IYC diets based
on local food sources, as consumed); (2) the best available food sources to fill nutrient gaps; and (3) alternative FBRs for 7-day diets that would improve dietary
adequacy for 11 micronutrients (calcium, iron, zinc,
riboflavin, niacin, thiamine and folate, and vitamins A,
B6, B12 and C). All analyses were done using Optifood
software (Daelmans et al. 2013). The mathematical
models used in this approach and general model
constraints were previously described in detail
(Ferguson et al. 2006; Daelmans et al. 2013). The main
steps of analysis undertaken in the present study are
described below.
The constraints used in all analyses to ensure that
modelled diets were realistic were: (1) the energy
[kilocalorie (kcal)] content of each modelled diet,
which was equal to the average energy requirement
for the sub-group; (2) the minimum and maximum
(generally corresponding to the 10th and 90th percentiles, respectively) number of servings from food groups
and food sub-groups per week; and (3) the grams of
each individual food item per week. These week-based
parameters were estimated using individual 24-HRs
multiplied by 7 to simulate weekly food intakes.
Median serving sizes were determined for all food
items (g/meal) for consumers in each age group and
county. Two methods were used to estimate daily breast
milk intakes, and the results (Module I analyses) were
compared. In one method, published average breast
© 2016 The Authors. Maternal and Child Nutrition Published by John Wiley & Sons Ltd Maternal & Child Nutrition (2015), 11 (Suppl. 3), pp. 6–20
TBA training improves early infant feeding
milk intakes for children in developing country regions
were used (WHO 1998). In the other method, breast
milk intakes were estimated for each age and county
sub-group as the difference between average energy requirements (kcal/day) and the median energy content
of the complementary diet. Breast milk was assumed
to contain 65 kcal/100 g [Institute of Medicine (IOM)
1991]; energy requirements were estimated based on
age, body weight (in kg) and breastfeeding status [Food
and Agriculture Organization of the United Nations
(FAO)/WHO/United Nations University (UNU)
2004] and median energy intakes from the complementary diet were derived from the 24-HR data. Of these
two methods, the last named was used unless it generated unrealistic Module 1 modelled diets. Specifically,
if the numbers of food items selected in each of the 19
Module I modelled diets were either all below or all
above the observed range in number of food items,
then the quantity of breast milk modelled was deemed
unrealistic.
The list of foods included in each modelled diet
consisted of all food items consumed by ≥5% of the
children surveyed for each age group and county and
some less frequently consumed food items, if they were
nutrient dense. Mangos were removed because they
are seasonal items and infant formula was removed
because it should not be recommended for breastfed
children. Nutrient-rich foods, such as eggs, small dried
fish and fortified cereal mixes, were added to the list
for some age groups, if they were reported to be consumed by another age group in the same county. For
infrequently consumed foods, the potential error in
estimated median serving sizes was reduced by imputing data from similar food types (e.g. foods from within
the same food group or food sub-group from green
leafy vegetables, roots, cereal flours, soups, beans, eggs
or small fish) within an age group and, if necessary,
across age groups. Identical serving sizes were used
for all similar food items within selected food subgroups to avoid biassing the selection of specific food
items (e.g. one particular type of green leafy vegetable)
towards the selection of larger or smaller serving sizes
reported for those specific food items.
For the LPA, Optifood’s Modules I to III were run
(Daelmans et al. 2013) for each age group and county
(i.e. six target groups). Details of the objective
functions and constraints used in the LPA models
are described in Supplementary Appendix Table S1.
In brief, Module I was run to check model parameters and to make decisions about which of the two
alternative breast milk serving sizes would be used
in the analyses. In this module, 19 simulated 7-day
diets were generated based on the model parameters
and reviewed to determine if they were realistic. If
any of these diets was not realistic, adjustments to
the model parameters were made by modifying one
or more of the constraint levels or the daily breast
milk serving size.
In the Module II analysis, a 7-day diet was modelled
that came as close as mathematically possible to achieving ≥100% of the WHO/FAO Recommended Nutrient
Intakes (RNIs) (WHO 2006b) for the 12 nutrients of interest. This is referred to as the Module II ‘nutritionally
best diet’. The bioavailabilities of iron and zinc were assumed to be low (5% and 15%, respectively) (WHO
2006b), consistent with diets based on unrefined cereal
grains and low amounts of animal-flesh foods. The
results from this modelled diet were used to formulate
alternative individual FBRs for testing in the Module
III analyses and to identify the problem nutrients, as
described below.
In the Module III analyses, 24 modelled 7-day diets
were generated. For 12 of these diets, the objective
functions maximised 1 of the 12 nutrients of interest;
for the other 12 diets, the objective functions minimised
1 of the 12 nutrients of interest. The maximised diets
were used to define the problem nutrients, and the
minimised diets were used to test alternative sets of
FBRs, as described below. Module III was initially
run without testing an FBR to define the problem nutrients and the baseline minimised nutrient levels (i.e. the
minimised nutrient levels without FBRs). In all subsequent Module III analyses, constraints were introduced
to ensure each modelled diet achieved the FBR or set
of FBRs being tested.
Identifying problem nutrients
Problem nutrients were defined as those nutrients
<100% of the RNI in the Module II nutritionally best
diet and <100% of the RNI in the Module III
maximised diets modelled without FBR constraints.
© 2016 The Authors. Maternal and Child Nutrition Published by John Wiley & Sons Ltd Maternal & Child Nutrition (2015), 11 (Suppl. 3), pp. 6–20
9
10
E. Ferguson et al.
Selection of FBRs
Individual FBRs selected for screening in Module III
were identified in two ways: (1) foods from food groups
that had a higher number of servings in the Module II
nutritionally best diet than the median observed for
those food groups (i.e. food group patterns that have
nutritional benefits) and (2) individual food items that
provided ≥5% of the nutrient content for at least five
micronutrients in the Module II nutritionally best diet
(i.e. the best food sources of nutrients) generally
expressed at their food sub-group level. For some food
groups, the screened FBRs included different recommended frequencies of consumption per week to assess
the nutritional or cost implications of recommending
different frequencies. These criteria identified the most
promising individual FBRs for improving dietary adequacy. A final check, however, was done at the end of
the Module III analyses in which the Module II’s best
food sources of nutrients that remained <70% of the
RNI were examined. Additional FBRs were tested, in
Module III, if promising food sources of these nutrients
were identified.
Testing FBRs
The individual FBRs were first screened in Module III
(minimised 7-day diets) to select a sub-set of up to eight
individual FBRs for a systematic analysis. Eight is the
maximum number of FBRs that can be systematically
tested in Optifood. To select this sub-set, the Module
III minimised nutrient values of all FBRs screened
were compared to identify a combination of FBRs that
would likely provide optimal levels of all 12 nutrients
modelled. In the systematic analysis, all possible combinations of these selected FBRs were tested. For example, if three FBRs had been selected (i.e. A, B and C)
for a systematic analysis, then four different sets of
FBRs would have been tested (A–B, A–C, B–C,
A–B–C), whereas when eight individual FBRs were
selected, then 247 different sets of FBRs were tested.
In these series of analyses, population-level dietary adequacy for a nutrient was defined as a minimised 7-day
diet value ≥70% of its RNI. This value was selected
because a low percentage of the population would be
at risk of inadequate intakes, for a nutrient, when its
lowest value, in its population intake distribution, was
at 70% of its RNI based on the EAR cut-point method
for estimating the prevalence at risk of inadequate
nutrient intakes at the population level (De Lauzaon
et al. 2004). To select the best set of FBRs for a given
target group, the minimised 7-day diet nutrient values
for all sets of combined individual FBRs tested were
compared, and the set(s) of FBRs that had the highest
number ≥70% of its RNI for the lowest number of
FBRs per set and lowest cost was selected. Finally, the
best sets of FBRs were compared across each age group
within a county to select a relatively consistent set of
FBRs to promote across all age groups. Sensitivity
analyses: Sensitivity analyses were done to determine
whether the results for problem nutrients were sensitive to the iron and zinc RNIs used. Module II and
Module III maximised objective functions analyses
were re-run using the WHO/FAO RNIs for iron and
zinc, assuming 10% absorption for iron and moderate
bio-availability for zinc, and using the International
Zinc Nutrition Consultative Group (IZiNCG) RNI
for zinc, assuming low bio-availability (Hotz & Brown
2004).
Results
Survey results
Household data are presented for 201 and 200 children
from Vihiga and Kitui Counties, respectively. The
dietary-based analyses used data for 156 children in
Vihiga and 179 children in Kitui. The reasons for
excluding data were that (1) the children were no
longer breastfeeding (n = 43 and n = 20 in Vihiga and
Kitui, respectively) and (2) children had implausible
energy intakes (n = 2 and n = 1 in Vihiga and Kitui,
respectively).
Children from both counties were predominantly
from low-income farming families that owned a limited
number of assets, living on 1 acre of land or less and
accessing water from rivers or communal water sources
(Table 1). Few caregivers had completed secondary or
higher levels of education. The primary sources of
household income were from casual labour, in both
counties. Own business and the selling of agricultural
produce were more important sources of household
income in Vihiga than in Kitui.
© 2016 The Authors. Maternal and Child Nutrition Published by John Wiley & Sons Ltd Maternal & Child Nutrition (2015), 11 (Suppl. 3), pp. 6–20
TBA training improves early infant feeding
Table 1. Characteristics of participating breastfed children 6–23 months
of age in Kitui and Vihiga Districts, Kenya, and socio-economic characteristics of their households
Low-income (≤8000 KSh/
month)
Self-owned land
Land size ≤ 1 acre
Household source of water
River
Communal well/pump/tap
Other
Maternal education
None
Standard
Secondary or tertiary
Household sources of
income*
Casual labour
Business
Formal employment
Agricultural produce
Other
Weight-for-age z-score < 2
6–8 months
9–11 months
12–23 months
Kitui n = 179 %
Vihiga n = 156 %
78.0
77.1
93.5
46.0
96.5
86.0
51.5
41.5
7.0
81.6
12.9
5.5
3.5
86.0
10.5
4.0
86.6
9.5
45.0
16.5
10.5
3.5
4.5
48.8
37.3
10.0
22.4
8.0
12.2
18.8
8.2
4.4
12.1
6.4
*Multiple income sources could be reported.
The number of unique food items consumed
ranged from 35 among children 9–11 months old in
Kitui to 59 among children 12–23 months old in
Vihiga. Across all age groups, 60 unique food items
were consumed in Kitui and 69 in Vihiga. However,
only 8–13 food items were consumed by ≥20% of
the children (Table 2). The majority of children in
both counties consumed porridges based primarily
on unrefined maize flour and secondarily on millet
or sorghum flour. The most important accompaniment to staples in Vihiga was green leaf stew
(e.g. kale leaves), while in Kitui, it was the broth
from vegetable stews. Milk was consumed by many
children (85% of children in Vihiga and 53% in
Kitui), while few children consumed animal-flesh
foods (0%–2% in Kitui and 11%–27% in Vihiga)
and fresh fruits (8%–9% in Kitui and 6%–13% in
Vihiga). The limited numbers of commonly consumed foods was reflected in the dietary diversity
scores, which were both lower in Kitui than in
Vihiga (Table 2).
Of the 60 and 69 foods consumed in Kitui and Vihiga,
respectively, 55 and 60 foods, respectively, were
included in the models. In Kitui, the rarely consumed
foods that were excluded were infant formula, a brand
of vegetable oil, mango, mandazi and a brand of fortified mixed flour. Some brands of vegetable oil and
fortified flour were included in the models because they
were consumed by more children than those excluded.
In Vihiga, the rarely consumed foods that were
excluded were a brand of vegetable oil, mango, cassava
flour, arrow root, fried potato chips, sweet biscuits,
chapatti, boiled maize and refine white maize flour.
These foods were consumed by less than 2 of the 201
children, except for cassava flour (five children) and
the oil (four children). Different brands of vegetable
oil, roasted maize and other roots were included in
the models because they were consumed by more
children than those excluded.
The nutrient densities of the IYC diets for children
6–8 months old were below WHO-desired levels for
all nutrients except vitamin A and vitamin C (Kitui
only); for the other age groups, they were below desired levels for seven of the 10 nutrients in Kitui and
from four to six of the 10 nutrients in Vihiga (Table 3).
Linear programming analyses results
Problem nutrients
In Kitui, the problem nutrients were iron and zinc in all
age groups, and vitamin B12 in the 12–23 month age
group (Table 4). In Vihiga, calcium, iron and zinc were
problem nutrients in all age groups. Niacin may be
excluded as a problem nutrient among children
6–8 months old (i.e. maximised value of 98% RNI)
because tryptophan will contribute to the overall
dietary intakes of niacin.
Selection of FBRs for screening
In both Kitui and Vihiga, the most important food
sources of nutrients in the Module II nutritionally best
diet were ‘Unger’ and ‘Proctor & Allan’ brand fortified
mixed cereal flours, fortified ‘Weetabix’ cereal, maize
flour, millet flour, cow’s milk and kale. In Kitui, kidney
beans, arrow root, vegetable broth, kale and spinach
were also important food sources of nutrients, while
© 2016 The Authors. Maternal and Child Nutrition Published by John Wiley & Sons Ltd Maternal & Child Nutrition (2015), 11 (Suppl. 3), pp. 6–20
11
12
E. Ferguson et al.
Table 2. Dietary diversity and percentage of breastfed children in Kitui and Vihiga consuming common food items
Food item
Kitui
n
Vihiga
6–8 months
9–11 months
12–23 months
6–8 months
9–11 months
12–23 months
49
32
98
45
33
78
Dietary diversity score, mean ± SD
% ≥4 food groups
Unique food items consumed, n
Food items consumed by ≥20%, n
2.1 ± 1.0
6.1
36
8
Maize flour, unrefined
Maize flour, refined
Millet flour
Sorghum flour
Rice
Potato
African donut
Milk, cow, fresh
Milk, goat, fresh
Kale leaves
Tomato
Avocado
Onion
Kidney beans
Broth, chicken
Broth, vegetable
Tea, brewed
Sugar
Vegetable oil
Margarine
Vegetable fat, white
57
16
31
24
14
12
—
55
20
—
18
8
14
10
2
31
—
59
6
27
12
2.6 ± 1.0
21.9
35
13
%
63
38
22
25
31
41
—
28
16
9
63
3
50
22
—
53
3
66
16
28
38
in Vihiga, small fish (omena) were important. For at
least one target group, these foods contributed ≥5%
of the diet’s nutrient content for at least five nutrients.
The food groups that had a higher number of servings
per week in the Module II nutritionally best diet than
in the observed diets (medians) in both Kitui and
Vihiga were fortified cereal products; legumes; dairy
products; meat, fish or eggs (MFE); fruits (only for
children 12–23 months old in Kitui); and vegetables.
In Kitui, the number of servings of broths and starchy
roots and plant foods was also higher in the Module II
nutritionally best diets than in the observed diets.
Depending on the age group, between 11 and 15 individual FBRs were screened in the Module III analyses
(Table 5). Although unrefined maize flour was an
important food source of nutrients for all age groups
in both counties, it was not screened because most
children consumed it, and, thus, it was included in all
2.4 ± 1.1
20.4
54
11
3.0 ± 1.1
42.2
46
11
81
17
20
24
29
16
2
28
18
8
51
89
2
9
13
1
24
2
89
—
—
47
18
1
47
7
62
7
22
45
20
36
20
36
—
42
18
42
91
60
9
9
3.5 ± 0.9
60.6
48
8
%
91
3
18
18
15
24
18
79
—
30
67
9
70
—
—
15
54
79
70
3
18
3.7 ± 1.1
62.8
59
10
95
—
14
12
22
18
31
85
—
40
68
14
65
—
—
10
78
95
72
5
17
modelled diets via a lower bound constraint (i.e. maize
flour ≥7 servings per week).
Selection of final sets of FBRs
After screening the individual FBRs, from five to
eight individual FBRs were selected for a systematic
analysis, because the results indicated a combination
of these FBRs would contribute to dietary adequacy.
From this analysis, the set of FBRs that resulted in
the highest number of nutrients ≥70% of the RNI
for the lowest number of individual FBRs per set
are shown in Table 6. The complete sets of systematic analyses are shown in Supplementary Appendix
Tables S2–7. In Kitui and Vihiga, the maximum
number of nutrients for which a set of FBRs would
ensure dietary adequacy (i.e. minimised nutrient
content was ≥70% of the RNI) was nine nutrients
© 2016 The Authors. Maternal and Child Nutrition Published by John Wiley & Sons Ltd Maternal & Child Nutrition (2015), 11 (Suppl. 3), pp. 6–20
4.5
0.6 (0.4, 0.6)
0.5 (0.4, 0.6)
3
0.6 (0.4, 0.7)
0.6 (0.5, 0.7)
1.0
0.7 (0.5, 0.7)
0.6 (0.6, 0.7)
105
39 (20, 74)
30 (16, 59)
74
19 (5, 49)
27 (10, 41)
63
13 (3, 32)
21 (14, 36)
Iron*
0.6
0.6 (0.4, 0.7)
0.5 (0.4, 0.6)
1.1
0.5 (0.4, 0.5)
0.6 (0.5, 0.7)
1.6
0.5 (0.4, 0.6)
0.6 (0.5, 0.6)
Zinc*
23
29 (18, 49)
46 (21, 110)
30
38 (26, 63)
41 (18, 72)
31
31 (18, 50)
34 (19, 56)
Vitamin A†
1.5
1.0 (0.2, 4)
3.8 (1.0. 7.5)
1.7
1.8 (0.5, 4.6)
3.3 (0.8, 5.7)
1.5
0.6 (0.3, 2.2)
2.5 (0.6, 5.3)
Vitamin C*
0.08
0.08 (0.07, 0.09)
0.09 (0.07, 0.1)
0.08
0.08 (0.07, 0.10)
0.09 (0.07, 0.11)
0.12
0.07 (0.06, 0.09)
0.08 (0.07, 0.11)
Vitamin B6*
21
6 (5, 11)
12 (8, 17)
9
7 (6, 12)
10 (7, 14)
11
6 (5, 10)
9 (7, 13)
Folate‡
0.07
0.05 (0.04, 0.06)
0.05 (0.05, 0.06)
0.06
0.05 (0.04, 0.06)
0.06 (0.05, 0.06)
0.08
0.05 (0.04, 0.06)
0.05 (0.04, 0.06)
Thiamin*
0.06
0.03 (0.02, 0.05)
0.06 (0.04, 0.08)
0.06
0.04 (0.02, 0.06)
0.06 (0.04, 0.09)
0.08
0.07 (0.03, 0.12)
0.06 (0.05, 0.11)
Riboflavin*
0.9
0.5 (0.5, 0.7)
0.6 (0.5, 0.6)
1.0
0.6 (0.5, 0.8)
0.6 (0.5, 0.7)
1.5
0.6 (0.4, 0.9)
0.5 (0.4, 0.6)
Niacin*
*mg/100 kcal. †μg RE/100 kcal. ‡μg DFE/100 kcal. §Mean (SD) energy intakes for 6–8 m in Kitui were 361 (±255) and in Vihiga were 384 (±272). ¶2002 WHO-desired nutrient densities (Dewey & Brown,
2003). ∥For Kitui, 6–8 m (n = 49), 9–11 m (n = 32), for 12–23 m (n = 98). **For Vihiga, 6–8 m (n = 45), 9–11 m (n = 33), for 12–23 m (n = 78). ††Mean (SD) energy intakes for 9–11 m in Kitui were 463
(±204) and in Vihiga were 492 (±283). ‡‡Mean (SD) energy intakes for 12–23 m in Kitui were 619 (±304) and in Vihiga were 581 (±265).
6–8 m§
Desired¶
Kitui∥
Vihiga**
9–11 m††
Desired¶
Kitui∥
Vihiga**
12–23 m‡‡
Desired¶
Kitui∥
Vihiga**
Calcium*
Table 3. Observed median (quartiles) nutrient density of the complementary feeding diet compared with the WHO-desired levels
TBA training improves early infant feeding
© 2016 The Authors. Maternal and Child Nutrition Published by John Wiley & Sons Ltd Maternal & Child Nutrition (2015), 11 (Suppl. 3), pp. 6–20
13
14
E. Ferguson et al.
Table 4. Modelled problem nutrients identified in the complementary diets of breastfed children in Kitui and Vihiga Districts, Kenya*
Problem
nutrient
Kitui
6–8 months
Vihiga
9–11 months
12–23 months
% of RNI†
Calcium
Iron
Zinc
Niacin
Vitamin B12
—
31
41
—
—
6–8 months
9–11 months
12–23 months
88
30
45
—
—
86
60
61
—
—
% of RNI†
—
33
41
—
—
—
66
51
—
88
68
21
35
98
—
*Problem nutrients were defined as those nutrients that cannot reach 100% of the RNI in the nutritionally best possible diets within model constraints.
Models for Kitui assumed average breast milk intakes derived from the published average intakes for developing countries (WHO 1998); models for
Vihiga assumed average breast milk intakes derived by subtracting median energy intakes from the complementary diet as determined by the 24-HR
survey from estimated median energy requirements (FAO/WHO/UNU, 2004). †The % of RNI (WHO 2006b) is shown for the nutrient content from
the Module II nutritionally best diet, assuming low bio-availability for iron and zinc.
Table 5. Individual food-based recommendations initially screened in the Module III analysis by age group and county
Food-based
recommendations
Kitui
Vihiga
Servings per week*
Fortified cereal products
Millet flour
Starchy roots and plant foods
Legumes
Milk
MFE
Small fish (omena)
Red meat
Fruit
Vegetables
GLV
Vitamin A-rich vegetables
Servings per week*
6–8 months
9–11 months
12–23 months
6–8 months
9–11 months
12–23 months
7
7
4 or 7
7
21
3 or 5
3
—
—
21
7
—
7
7
4 or 7
7 or 14
14 or 21
4
3
—
—
28
7
—
7
7
7
7 or 14
21
4
3
—
4
28
7
—
3
—
4 or 7
7
14
4 or 7
5
—
3 or 7
21
7
3
3 or 4
—
4 or 7
7
14
7
5
2
5
28 or 35
7
—
2 or 4
—
4 or 7
7
14 or 21
7
5
2
—
28 or 35
7 or 14
2
*Servings per week screened in Module III.
among children 6–8 and 9–11 months old and seven
nutrients among those 12–23 months old. For the
younger two age groups, dietary adequacy was
achieved with a minimum set of either four or five
recommendations, with iron and zinc remaining as
the problem nutrients. For children 12–23 months
old, it was achieved with a minimum set of four to
six recommendations, with calcium (Kitui only),
folate (Vihiga only), iron, zinc and niacin remaining
at <70% of the RNI. The minimised values for
niacin were ≥60% of its RNI, which is less of a
concern than for other nutrients. Niacin was
expressed as micrograms of niacin instead of niacin
equivalents, so additional niacin would be contributed
by tryptophan. Likewise, folate and calcium are not a
concern because their minimised values were close to
the 70% criterion used in this study, which indicates
that a low percentage of the population would be at
risk of inadequate intakes. However, the lowest diet
costs for these sets of FBRs were 1.7–3.0 times higher
than the modelled diets without recommendations
(Table 6).
© 2016 The Authors. Maternal and Child Nutrition Published by John Wiley & Sons Ltd Maternal & Child Nutrition (2015), 11 (Suppl. 3), pp. 6–20
TBA training improves early infant feeding
Table 6. Baseline and best sets of food-based recommendations with the lowest market price by county and age group
Baseline and Food-based recommendations*
Kitui
6–8 months
No recommendations
Cost (KSh†/
week)
Nutrients < 70% RNI in Module III
(minimised diets)
4.6
Calcium, iron, zinc, vitamins A, B1, B2, B3,
B9, B12, C
Iron (19%)§, zinc (26%)
Milk (21) + GLV‡ (7) + Millet (7) + Cereal, fortified cereal flour (7)
9–11 months
No recommendations
18.2
Milk (21) + GLV (7) + Millet (7) + Cereal, fortified cereal flour (7)
12–23 months
No recommendations
19.1
Milk (21) + GLV (7) + Legumes (14) + Fish, small fish (3) + Millet
(7) + Cereal, fortified cereal flour (7)
Vihiga
6–8 months
No recommendations
24.2
Milk (14) + Legumes (7) + GLV (7) + Fish, small fish (5) + Cereal, fortified
cereal flour (3)
9–11 months
No recommendations
14.4
Milk (14) + Legumes (7) + GLV (7) + Fish, small fish (5) + Cereal, fortified
cereal flour (3)
12–23 months
No recommendations
16.1
Milk (21) + Legumes (7) + GLV (14) + Cereal, fortified cereal flour (4)
26.9
4.9
6.9
4.1
Milk (21) + Legumes (7) + GLV (14) + Fish, small fish (5) + Cereal, fortified
cereal flour (4)
5.9
9.3
28.9
Calcium, iron, zinc, vitamins A, B1, B2, B3,
B9, B12, C
Iron (21%), zinc (30%)
Calcium, iron, zinc, vitamins A, B1, B2, B3,
B9, B12, C
Calcium (65%), iron (55%), zinc (43%),
vitamin B3 (61%)
Calcium, Iron, zinc, vitamins B1, B2, B3, B6,
B9
Iron (13%), zinc (31%)
Calcium, iron, zinc, vitamins B2, B3, B6, B9,
C
Iron (14%), zinc (31%)
Calcium, iron, zinc, vitamins A, B1, B2, B3,
B9, B12, C
Iron (38%), zinc (36%), vitamins B3 (51%),
B9 (66%)
Iron (41%), zinc (43%), vitamins B3 (60%),
B9 (67%)
*The number in the parenthesis shows the recommended number of servings per week. For example, Milk (21) is 21 servings of milk per week. †KSh
—Kenyan Shillings; exchange rate was approximately 1Ksh = 0.012 US$ in August 2012. ‡GLV—green leafy vegetables. §Nutrient (% RNI).
The final sets of FBRs selected are summarised in
Table 7. Breastfeeding on demand is included, in all sets
of FBRs, to reinforce the importance of breast milk and
to emphasise that these recommendations are intended
to complement, not replace, breast milk. Recommendations for children 6–8 and 9–11 months old were
similar and, hence, were combined for simplicity.
Recommendations for children 12–23 months old were
similar to those for children 9–11 months old, with a few
additions and modifications.
The sensitivity analyses showed that iron and zinc
remained problem nutrients for children 6–8 and
9–11 months old in both counties, regardless of the
RNIs used. However, for children 12–23 months old,
zinc was no longer a problem nutrient when the
IZiNCG instead of the WHO RNI was used. Thus,
for the oldest age group, conclusions about problem
nutrients were sensitive to the RNIs selected.
Discussion
This analysis identified the nutrient intake gaps among
breastfed children in two distinct, rural Kenyan populations, and it demonstrated that the gaps for most
© 2016 The Authors. Maternal and Child Nutrition Published by John Wiley & Sons Ltd Maternal & Child Nutrition (2015), 11 (Suppl. 3), pp. 6–20
15
16
E. Ferguson et al.
Table 7. Summary of food-based recommendations for children 6–11 and 12–23 months of age in Kitui and Vihiga Districts, Kenya
County
Target group
6–11 months
12–23 months
Kitui
• Breastfeed on demand
• Heat-treated full fat cows’ or goats’ milk ≥3 times per day
(e.g. adding milk to porridge)*
• Fortified cereal at least once per day
• GLV† once per day
• Millet flour once per day
• Either legumes or MFE‡ once per day
• Breastfeed on demand
• Heat-treated full fat cows’ or goats’ milk ≥3 times per day
(e.g. adding milk to porridge)
• Fortified cereal at least once per day
• GLV once per day
• Millet flour once per day
• Legumes twice per day
• MFE every day, especially small fish ≥3 times per week
Vihiga
• Breastfeed on demand
• Heat-treated full fat cows’ or goats’ milk ≥2 times per day
(e.g. adding milk to porridge)
• Fortified cereal ≥3 times per week
• GLV once per day
• Bean flour once per day (as porridge ingredients)
• Small fish ≥5 times per week
• Breastfeed on demand
• Heat-treated full fat cows’ or goats’ milk ≥3 times per day
(e.g. as a drink or adding to porridge)
• Fortified cereal ≥4 times per week
• GLV ≥2 times per day
• Legumes or bean flour (as porridge ingredient) once per day
• Small fish ≥5 times per week
*Animal milk should not be fed during episodes of diarrhoea without providing extra non-milk fluids, as its relatively high potential renal solute load
‡
can lead to hypernatremic dehydration (WHO, 2005). †GLV—green leafy vegetables. MFE-meat, fish, egg.
nutrients could be meaningfully reduced by altering the
consumption frequency of available food items in the
complementary diet. The analysis identified sets of four
to six FBRs selected from the lowest cost options that
could fill those gaps. The analysis also identified two
to four nutrients for which intake requirements could
not be met within the existing dietary pattern and for
which additional interventions would be required.
These results provide an evidence base for designing
and testing interventions to improve the nutritional
quality of the IYC diet in these vulnerable populations.
The nutritional quality of the complementary diets of
these children compared with the WHO-desired levels
was very poor when expressed as median nutrient
densities. This is consistent with the high prevalence
of low dietary diversity observed. Diversity of food
groups among children 6–23 months old in developing
country regions was previously shown to be positively
related to the mean micronutrient density adequacy
(Working Group on Infant and Young Child Feeding
Indicators 2006).
This nutrient intake gap analysis is based on estimates of inadequate intakes in comparison to theoretical nutrient intake requirements, and therefore does
not imply the presence of clinical or sub-clinical nutrient deficiency states. Nonetheless, these estimates are
reflective of an elevated risk for deficiencies of multiple
nutrients in these populations, for which there is some,
albeit limited, evidence among children in Kenya. The
1999 National Micronutrient Survey indicated that the
prevalence of biochemical deficiencies of vitamin A,
iron and zinc in children were high, at 84%, 20% and
51%, respectively (Ministry of Health et al. 1999).
Non-representative community-based studies have
reported elevated prevalence rates of iron and vitamin
A deficiencies among infants and young children in
western Kenya (Grant et al. 2012; Suchdev et al.
2012), and of iron, zinc, vitamin A, riboflavin and vitamin B12 (but not folate) among school children in eastern Kenya (Siekmann et al. 2003). More studies directly
linking inadequate nutrient intakes and bio-chemical
and/or clinical evidence of nutrient deficiencies would
be useful to strengthen the dietary intake-based evidence and recommendations derived from this type of
analysis.
The Optifood LPA for diet optimisation indicated
that sufficient diversity existed within the boundaries
of the current dietary pattern in both locations to
© 2016 The Authors. Maternal and Child Nutrition Published by John Wiley & Sons Ltd Maternal & Child Nutrition (2015), 11 (Suppl. 3), pp. 6–20
TBA training improves early infant feeding
increase the intake adequacy for most of the 11
micronutrients considered. For those nutrients, improved dietary adequacy could potentially be achieved
by increasing the diversity of individual IYC diets by
feeding nutrient dense foods from a higher number of
food groups on a daily basis than is currently being
done, i.e. from at least five food groups vs. observed
mean dietary diversity scores ranging from 2.1 to 3.7
food groups, depending on the age group and county.
The FBRs are expressed as a recommended number
of servings per week – this could be accomplished by
increasing the frequency (i.e. number of days) that the
food is served per week or, alternatively, by increasing
the portion size served at one feeding such that more
than one median-sized serving is offered. It may thus
be possible to improve the dietary adequacy of these
children through behaviour change communication
(BCC).
Subsequent studies in these communities are
required to test the acceptability of these initial FBRs
and to assess any barriers to their adoption. While some
of the recommendations represent only minor changes
to current dietary patterns, a few represent more
substantial changes, such as to feed children MFE and
fortified cereal in Kitui, and legumes and small fish in
Vihiga, all of which were consumed by <5% of
children. These recommended foods were selected
because of their availability in the communities and
their potential to improve nutrient intake adequacy. If
some recommendations are found to be unfeasible,
alternative FBRs could be explored that would meet
the same objectives.
Based on our analysis of the local market price of
foods, incorporation of these sets of recommendations
could result in a large, 1.7- to 3.0-fold increase in the
cost of the diet if all foods were purchased. Considering
the high prevalence of households living in poverty, this
increase may not be feasible. In this case, interventions
that are aimed at lowering the cost of these nutritious
foods should be explored, including increased selfproduction and more efficient market value chains
(Hotz et al. submitted).
The analysis identified some nutrients as being problem nutrients. It is very difficult to meet iron requirements and challenging to meet zinc requirements
from the IYC diet as the amount of iron and zinc in
breast milk is very low, and the majority of these nutrients must be obtained from foods (WHO 1998). The
sensitivity analyses also showed that iron and zinc (in
children 6–11 months old only) would remain problem
nutrients even if their absorption was enhanced from
low to moderate levels. The intakes of these nutrients
are so low in relation to requirements in IYC diets that
the analyses’ conclusions are not highly sensitive to
assumptions around bio-availability; suggesting intervention strategies to enhance the absorption of these
nutrients might be insufficient to ensure populationlevel dietary iron and zinc adequacy. Calcium was a
problem nutrient for all three age groups in Vihiga,
but not in Kitui, and this can be attributed to the
reported use of a commercial millet flour mix with
added calcium in Kitui only, and differences in the serving sizes reported for fluid milk. The recommendation
to feed heat treated full fat fluid cows’ or goats’ milk
in porridges two or three times a day will improve
dietary adequacy for calcium and zinc. Heat treatment
of these animal milks is important for reducing risks
of disease transmission and gastrointestinal blood loss
in children that can occur following raw milk consumption (WHO, 2005). The recommended small serving
sizes (<100 g/d) mixed into porridges addresses
concerns that high renal solute loads of animal milks
may lead to hypernatremic dehydration in water
stressed infants, as long as care is taken to ensure
adequate hydration during diarrhoeal illnesses
(WHO, 2005).
To address the three main problem nutrients
(calcium, iron and zinc), additional low-cost foods that
are rich sources of these nutrients would need to be
introduced into the local food supply and adopted by
caregivers for IYC feeding. Such interventions may
include low-cost fortified flour mixes (Bruyeron et al.
2010; Das et al. 2013); increased accessibility of
animal-source foods, particularly meat (Neumann
et al. 2003); and appropriately formulated micronutrient powders that have been shown to reduce iron and
vitamin A deficiency when made available for sale to
caregivers in western Kenya (Suchdev et al. 2012).
If new foods or fortified products can be successfully
introduced into these communities to address low
intakes of problem nutrients, these same items could
potentially result in increased intakes of other
© 2016 The Authors. Maternal and Child Nutrition Published by John Wiley & Sons Ltd Maternal & Child Nutrition (2015), 11 (Suppl. 3), pp. 6–20
17
18
E. Ferguson et al.
nutrients. In this case, the FBRs could be remodelled,
possibly resulting in a smaller number of FBRs
required to improve nutrient intake adequacy.
Despite the obvious differences in the agro-ecology
and seasons in which the surveys were conducted and
diversity of foods in the two study sites, nutrient intake
adequacies and the initial FBRs did not differ substantially. Although lower dietary diversity was observed in
the semi-arid area near the end of the food shortage
season compared with the more fertile region during
the food plenty season, diversity was still quite
restricted in both areas. The reasons for this were not
studied directly, but it is suggestive of limited accessibility to a wide range of foods because of limited purchasing power, under-developed food value chains or
cultural practices around IYC feeding.
This analysis relied on assumptions about breast milk
intakes and its nutrient content; the accuracy of food
nutrient composition values of complementary foods,
especially millet; and the RNIs for children
6–23 months old, and it assumed that the total energy
intakes of these children were adequate. Breast milk
was an important food source for 8 to 10 of the 11
micronutrients modelled in the Module II nutritionally
best diets, depending on the target group. Thus, a
marked discrepancy between modelled and actual
intakes of breast milk or between its modelled and
actual nutrient composition could modify the conclusions. The reported high prevalence of stunting and
low prevalence of wasting among young Kenyan
children is consistent with the presence of nutrient deficiencies but not energy deficiencies (KNBS, ICF Macro
2010). Further, the model parameters, which defined
the upper and lower food pattern constraint levels for
the simulated 7-day diets, were derived from a single
24-h recall, which will allow more foods to be selected
from the less regularly consumed food groups, such as
MFE, than would habitually occur. This limitation
might result in an under-estimation of the number of
problem nutrients or an over-estimation of the number
of nutrients for which dietary adequacy is not ensured.
In summary, this analysis showed that the nutritional
quality of the complementary diet was restricted in
these two distinct rural Kenyan populations, but that
it could be improved through the careful selection of
foods. For children 6–11 months of age, a set of four
to five FBRs would ensure dietary adequacy for 9 of
the 11 micronutrients modelled, while for children
12–23 months of age, five to six recommendations
would ensure adequacy for seven micronutrients. Iron
and zinc in both sites, plus calcium in Vihiga, were the
main problem nutrients, and, for these nutrients, external solutions, such as fortification, would be required to
ensure adequate intakes. The costs of ensuring dietary
adequacy, however, were high relative to reported
monthly incomes, suggesting that multiple approaches,
including income-generation activities, lowering food
market prices or increasing home-production, are likely
required to support efforts to achieve nutritionally
adequate complementary diets in these populations.
Acknowledgements
The authors wish to thank Bonnie McClafferty and
Enock Musinguzi (Global Alliance for Improved
Nutrition [GAIN]) for conceptualising and managing
this research, and Alison Tumilowicz (GAIN) for
valuable comments on the manuscript.
Source of funding
This work was supported by GAIN through a grant
from the U.S. Agency for International Development
(#GHA-G-00-06-00002).
Conflicts of interest
The authors report no conflict of interest associated
with this work.
References
Black R.E., Victora C.G., Walker S.P., Bhutta Z.A., Christian
P., de Onis M. et al. (2013) Maternal and child undernutrition and overweight in low-income and middle-income
countries. The Lancet 382, 427–451.
Bruyeron O., Denizeau M., Berger J. & Treche S. (2010) Marketing complementary foods and supplements in Burkina
Faso, Madagascar, and Vietnam: lessons learned from the
Nutridev program. Food and Nutrition Bulletin 31,
S154–S167.
© 2016 The Authors. Maternal and Child Nutrition Published by John Wiley & Sons Ltd Maternal & Child Nutrition (2015), 11 (Suppl. 3), pp. 6–20
TBA training improves early infant feeding
CRA (2011) Kenya County Fact Sheets. Nairobi: CRA.
Daelmans B., Ferguson E., Lutter C.K., Singh N., Pachon H.,
Creed-Kanashiro H. et al. (2013) Designing appropriate
complementary feeding recommendations: tools for programmatic action. Maternal and Child Nutrition 9 (Supplement 2),
116–138.
Das J.K., Salam R.A., Kumar R. & Bhutta Z.A. (2013) Micronutrient fortification of food and its impact on women and
child health: a systematic review. Systematic Reviews 23,
2–67.
De Lauzaon B., Volatier J.L. & Martin A. (2004) A Monte
Carlo simulation to validate the EAR cut-point method for
assessing the prevalence of nutrient inadequacy at the
population level. Public Health Nutrition 7, 893–900.
Dewey K.G. & Brown K.H. (2003) Update on technical issues
concerning complementary feeding of young children in
developing countries and implications for intervention
programs. Food and Nutrition Bulletin 24, 5–28.
FAO/WHO/UNU (2004) Human energy requirements. In: Report of a Joint FAO/WHO/UNU Expert Consultation, FAO
Food and Nutrition Technical Report Series #1. FAO: Rome.
Ferguson E., Darmon N., Fahmida U., Fitriyanti S., Harper T.
B. & Premachandra I.M. (2006) Design of optimal foodbased complementary feeding recommendations and identification of key ‘problem nutrients’ using goal programming.
Journal of Nutrition 136, 2399–2404.
Gibson R.S. & Ferguson E. (2008) An interactive 24-hour
recall for assessing the adequacy of iron and zinc intakes in
developing countries. In: HarvestPlus Technical Monograph
8. IFPRI and International Center for Tropical Agriculture
(CIAT): Washington, DC and Cali, Colombia.
Grant F.K.E., Martorell R., Flores-Ayala R., Cole C.R., Ruth
L.J., Ramakrishnan U. et al. (2012) Comparison of indicators of iron deficiency in Kenyan children. American Journal
of Clinical Nutrition 95, 1231–1237.
Hotz C. & Brown K. (2004) Assessment of the risk of zinc
deficiency in populations and options for its control. Food
and Nutrition Bulletin 25 (Suppl 2), S91–S202.
Hotz C., Ferguson E., Kennedy G. & Woldt M. (2011)
Standard Operating Procedures for the Compilation of the
Optifood Food Composition TableVersion 9. Academy for
Educational Development/Food and Nutrition Technical
Assistance Project: Washington, DC.
Hotz C., Pelto G., Armar-Klemesu M., Ferguson E., Chege P.
& Musinguzi E. (submitted) Constraints and opportunities
for implementing nutrition-specific and nutrition-sensitive
intervention approaches to improve nutrient intake
adequacy among infants and young children in two regions
of rural Kenya. Maternal and Child Nutrition.
Institute of Medicine (1991) Nutrition During Lactation.
National Academy Press: Washington, DC.
Kenya National Bureau of Statistics (KNBS) & ICF Macro
(2010) Kenya Demographic and Health Survey 2008–09.
Calverton, Maryland: KNBS and ICF Macro.
Ministry of Health [Kenya], KEMRI, University of Nairobi,
SOMA-NET & UNICEF (1999) Anaemia and the Status
of Iron, Vitamin-A and Zinc in Kenya. National Micronutrient Survey Report: Nairobi.
Neumann C.G., Bwibo N.O., Murphy S.P., Sigman M., Whaley
S., Allen L.H. et al. (2003) Animal source foods improve
dietary quality, micronutrient status, growth and cognitive
function in Kenyan school children: background, study
design and baseline findings. Journal of Nutrition 133,
3941S–3949S.
Siekmann J.H., Allen L.H., Bwibo N.O., Demment M.W.,
Murphy S.P. & Neumann C.G. (2003) Kenyan school children have multiple micronutrient deficiencies, but increased
plasma vitamin B-12 is the only detectable micronutrient
response to meat or milk supplementation. Journal of
Nutrition 133, 3972S–3980S.
Suchdev P.S., Ruth L.J., Woodruff B.A., Mbakaya C.,
Mandava U., Flores-Ayala R. et al. (2012) Selling sprinkles
micronutrient powder reduces anemia, iron deficiency, and
vitamin A deficiency in young children in Western Kenya:
a cluster-randomized controlled trial. American Journal of
Clinical Nutrition 95, 1223–30.
WHO (1998) Complementary Feeding of Young Children in
Developing Countries: A Review of Current Scientific Knowledge. WHO: Geneva.
WHO (2005) Guiding Principles for Feeding Non-Breastfed
Children 6–24 Months of Age. WHO: Geneva.
WHO (2006a) WHO Child Growth Standards: Length/Heightfor-Age, Weight-for-Age, Weight-for-Length, Weight-for-Height
and Body Mass Index-for-Age: Methods and Development.
WHO: Geneva.
WHO (2006b) Vitamin and Mineral Requirements in Human
Nutrition, 2nd edn. Geneva: WHO.
WHO, UNICEF, USAID, Academy for Educational Development & University of California – Davis & IFPRI
(2008) Indicators for Assessing Infant and Young Child
Feeding Practices: Conclusions of a Consensus Meeting Held
6–8 November 2007 in Washington, DC. WHO: Geneva.
WHO/UNICEF (2003) Global Strategy for Infant and Young
Child Feeding. WHO: Geneva.
Working Group on Infant and Young Child Feeding Indicators
(2006) Developing and Validating Simple Indicators of
Dietary Quality and Energy Intake of Infants and Young
Children in Developing Countries: Summary of Findings
from Analysis of 10 Data Sets. FHI 360/Food and Nutrition
Technical Assistance Project (FANTA): Washington, DC.
Supporting information
Additional Supporting Information may be found in
the online version of this article at the publisher’s
web-site:
© 2016 The Authors. Maternal and Child Nutrition Published by John Wiley & Sons Ltd Maternal & Child Nutrition (2015), 11 (Suppl. 3), pp. 6–20
19
20
E. Ferguson et al.
Table S1. Description of the models within Optifood
Modules I–III.
Table S2. Tests of alternative sets of food-based recommendations for children 6–8 months old in Kitui;
the nutrient content of the minimised diet, for each
nutrient, expressed as a percentage of its WHO/FAO
Recommended Nutrient Intake (RNI).
Table S3. Tests of alternative sets of food-based recommendations for children 9–11 months old in Kitui;
the nutrient content of the minimised diet, for each
nutrient, expressed as a percentage of its WHO/FAO
Recommended Nutrient Intake (RNI).
Table S4. Tests of alternative sets of food-based recommendations for children 12–23 months old in Kitui;
the nutrient content of the minimised diet, for each
nutrient, expressed as a percentage of its WHO/FAO
Recommended Nutrient Intake (RNI).
Table S5. Tests of alternative sets of food-based recommendations for children 6–8 months old in Vihiga;
the nutrient content of the minimised diet, for each
nutrient, expressed as a percentage of its WHO/FAO
Recommended Nutrient Intake (RNI).
Table S6. Tests of alternative sets of food-based recommendations for children 9–11 months old in Vihiga;
the nutrient content of the minimised diet, for each
nutrient, expressed as a percentage of its WHO/FAO
Recommended Nutrient Intake (RNI).
Table S7. Tests of alternative sets of food-based recommendations for children 12–23 months old in Vihiga;
the nutrient content of the minimised diet, for each
nutrient, expressed as a percentage of its WHO/FAO
Recommended Nutrient Intake (RNI).
© 2016 The Authors. Maternal and Child Nutrition Published by John Wiley & Sons Ltd Maternal & Child Nutrition (2015), 11 (Suppl. 3), pp. 6–20